Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT OSS 120B
OpenAI
GPT OSS 120B is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.1% across 2 benchmarks. Notable strengths include GPQA (71.5%), MMLU (54.8%). It supports a 161K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
GPT OSS 120B
OpenAI
2025-08-05
4 months newer
Performance Metrics
Context window and performance specifications
GPT OSS 120B
Llama-3.3 Nemotron Super 49B v1
Average performance across 1 common benchmarks
GPT OSS 120B
Llama-3.3 Nemotron Super 49B v1
Performance comparison across key benchmark categories
GPT OSS 120B
Llama-3.3 Nemotron Super 49B v1
Llama-3.3 Nemotron Super 49B v1
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
GPT OSS 120B
ZeroEval
Llama-3.3 Nemotron Super 49B v1
GPT OSS 120B
Llama-3.3 Nemotron Super 49B v1